Project and Development of a Natural and Collaborative Interaction System for Medical Environments. The System should provide and support access to information, the visualization and manipulation of the results in the most natural way possible. For this reason it is required the integration of a set of modules hardware/software that support the manipulation of multimedia informations through collaborative tools based on paradigms of natural interaction.

We present an efficient method for mobile visual search that exploits compact hash codes and data structures for visual features retrieval. The method has been tested on a large scale standard dataset of one million SIFT features, showing a retrieval performance comparable or superior to state-of-the-art methods, and a very high efficiency in terms of memory consumption and computational requirements. These characteristics make it suitable for application to mobile visual search, where devices have limited computational and memory capabilities.

Reddit/ˈrɛdɪt/,[4] stylized as reddit,[5] is an entertainment, social networking service and news website where registered community members can submit content, such as text posts or direct links. Only registered users can then vote submissions “up” or “down” to organize the posts and determine their position on the site’s pages. Content entries are organized by areas of interest called “subreddits”.

Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non-deterministic algorithm in the sense that it produces a reasonable result only with a certain probability, with this probability increasing as more iterations are allowed. The algorithm was first published by Fischler and Bolles at SRI International in 1981.

A basic assumption is that the data consists of “inliers”, i.e., data whose distribution can be explained by some set of model parameters, though may be subject to noise, and “outliers” which are data that do not fit the model. The outliers can come, e.g., from extreme values of the noise or from erroneous measurements or incorrect hypotheses about the interpretation of data. RANSAC also assumes that, given a (usually small) set of inliers, there exists a procedure which can estimate the parameters of a model that optimally explains or fits this data.

On 4 April 2014 was opened a new visitor center in Piazza Stazione near Santa Maria Novella’s train station (Firenze). This opening has involved a project developed by the Micc (Media Integration and Communication Center -University of Florence) lab in collaboration with the municipality of Florence.

The project name is “MyFirenze” and it is a framework for itinerary personalization which includes the use of a touchscreen correlated with the use of a mobile device.

AI*HCI 2013 is a Workshop of the XIII AI*IA Conference which took place in Torino on 4 of December 2013. The main aim of this workshop is to bridge Artificial Intelligence and Human Computer Interaction.

I presented a recent work about Itinerary Personalization in the context of Smart Cities

Smart tourism in cities of art is a personalized user experience that exploits smart city infrastructures to offer increased opportunities of visit and services and time optimization. Traditionally, this capability requires the availability of personal mobile systems and geolocalization, augmented with some smart computing that provides the due information and functions at the right time and location of the visit. However effective smart tourism should also account for the fact that they exist different user requirements at different stages of the visit and that interests and requirements not only differ from one user to the other but also may change through time for each individual user. According to this, an effective framework for smart tourism should offer the possibility of an easy definition of individual user visits and offer to each user the capability of making changes or updates to his/her visit plan during the visit. It should also consider the possibility that different devices are offered and used at the different stages of the visit. In this work we present the prototype of a framework where different devices are used for the definition and modification of a personalized visit. In particular it exploits a wall mounted touchscreen in a visitor center which permits the early definition of a visit plan and a mobile device which allows online updates and changes of the planes well as display of geolocalized information during the time of the visit. An application server platform and a network infrastructure allows to record user activities as well as search and retrieve personalized data.

This a video about a test (for my master thesis) with and Android device and OpenCv libraries. The purpose of this test was to run on a device a Feature Matching and Planar Homography with a final overlay. This was possible using the power offered by OpenCv.